Feng Liu (Ph.D. candidate at UTS-CAI)


Feng Liu

Feng Liu

Ph.D. Candidate (advised by Dist. Prof. Jie Lu),
Decision Systems and e-Service Intelligence Lab,
Centre for Artificial Intelligence, UTS

Level 12, UTS Central,
61 Broadway, Ultimo, Sydney, NSW2007, Australia.

E-mail: feng.liu [at] uts.edu.au or feng.liu.1990 [at] ieee.org
Google Scholar


Research Interests

    My current research interests lie in domain adaptation (including transfer learning) and two sample testing. My long-term goal is to develop intelligent systems that can learn knowledge from massive related but different domains (domains drawn from different distributions) automatically. Researching on domain adaptation and hypothesis testing is the first step for achieving my long-term goal.

Research Experience

  • Visiting Researcher (August 2019--November 2019)

  • Gatsby Computational Neuroscience Unit, UCL, London, UK
    Advisor: Prof. Arthur Gretton
    Collaborators: Dr. Dougal Sutherland, Wenkai Xu
    Project: Learning Deep Kernels for Two Sample Test

  • Research Intern (March 2019--July 2019)

  • Imperfect Information Learning Team, RIKEN-AIP, Tokyo, Japan
    Advisor: Prof. Masashi Sugiyama
    Collaborators: Dr. Gang Niu and Dr. Bo Han
    Project: Wildly Unsupervised Domain Adaptation

  • Research Assistant (July 2015--July 2016)

  • Institute of Statistical Science, School of Statistics,
    Dongbei University of Finance and Economics, Dalian, China
    Advisor: Prof. Ping Jiang
    Collaborators: Prof. Jianzhou Wang, Yiliao Song
    Project: Time Series Prediction and Interpolation

  • Research Intern (May 2014--September 2014)

  • State Key Laboratory of Numerical Modeling for Atmospheric Sciences and
    Geophysical Fluid Dynamics (LASG),
    Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, China
    Advisor: Senior Scientist Zhenhai Guo
    Collaborators: Dr. Xia Xiao, Dr. Jing Zhao, Dr. Zhongyue Su
    Project: Forecasting Long-Term Wind Speed via NWP ensembles


  • Ph.D. Candidate of Computer Science (November 2017)

  • Faculty of Engineering and Information Technology,
    University of Technology Sydney, Sydney, Australia.
    Supervised by Dist. Prof. Jie Lu and Prof. Guangquan Zhang

  • Master of Science (June 2015)

  • School of Mathematic and Statistics, Lanzhou University, Lanzhou, China
    Supervised by Prof. Jianzhou Wang

  • Bachelor of Science (June 2013)

  • School of Mathematic and Statistics, Lanzhou University, Lanzhou, China


Australian Research Council